• International journal of advanced smart convergence
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• v.4 no.2
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• pp.120-123
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• 2015

The use of smart devices worldwide has been increasing day by day and its applications based on IoT have been also extended. But the power control system requires complicated control and processing information from the various sensors in practice. One of the best ways to save the power consumption is to manage electrical equipment individually on the Internet. In this paper, remote power control system for managing the power through the relay switch module via Python server was implemented by using Raspberry Pi. The proposed power control system can be used anywhere over the Internet.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1459-1466
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• 2017

Recently, the development of the smart home field provides a range of services to install and keep the smart home appliance in a user's residential environment pleasantly. However, the conventional system method is not convenient enough to use properly because users have to select a device and manually operate the device on their own. In this paper, we propose a system to set the priority of the devices selected by the user and proceed with the task. When a user selects a device, the system recommends an optimal device associated with the device. The system compares and sets the priority of each device, carrying out the task one by one according to the set priority. Therefore, the proposed system is expected to provide users with increased convenience and more efficient task management.

• Journal of information and communication convergence engineering
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• v.17 no.3
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• pp.198-204
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• 2019

In this study, the author introduces a supply-chain management (SCM) solution that connects suppliers, manufacturers, customers, and other companies within a transactional relationship to enable efficient inventory management and timely product supply, which ultimately maximizes corporate profits. This proposed solution exploits Fourth Industrial Revolution technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), which provide solutions to complex management issues generated by the broader market. The goal of the current study was to develop an advanced and intelligent smart SCM solution that complies with logistics standards, to enhance the visibility, safety, and efficiency of a supply chain made up of manufacturers and suppliers. This smart SCM solution aims at maximizing corporate profits through efficient inventory management and timely supply of products, and solves the complex management problems caused by operating within a wide range of markets.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.581-583
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• 2022

본 논문에서는 무인 로봇 스마트 더스트(Smart Dust)의 사례연구를 통하여 재난, 재해 등 불확실한 상황에서 실시간 정보제공 등 기능에 대한 활용 사례를 살펴보고 전장에서 활용할 수 있는 방법으로 처리 프로세스를 수정 연구한다. 스마트 더스트 기술은 인공지능(AI)과 사물인터넷(IoT) 기술이 적용된 1mm³ 이하 크기의 센서이며, 전시 및 재난 등의 위급상황에서 다양한 용도로 적용 및 전략수립에 활용될 수 있다. 본 연구를 통하여 전장 및 재해 상황에서의 위기대응에 효율성을 증대할 수 있을 것으로 사료된다.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.9
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• pp.766-772
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• 2016

Recent advances in networking and computers, especially internet of things (IoT) technologies, have improved the quality of home life and industrial sites. However, the security vulnerability of IoT technologies causes life-threatening issues and information leakage concerns. Studies regarding security algorithms are being conducted. In this paper, we proposed SEED algorithms based on one time passwords (OTPs). The specified server sent time data to the client every 10 seconds. The client changed the security key using time data and generated a ciphertext by combining the changed security key and the matrix. We applied the SEED algorithms with enhanced security to Linux-based embedded boards and android smart phones, then conducted a door lock control experiment (door lock & unlock). In this process, the power consumed for decryption was measured. The power consumption of the OTP-based algorithm was measured as 0.405-0.465W. The OTP-based algorithm didn't show any difference from the existing SEED algorithms, but showed a better performance than the existing algorithms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.530-532
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• 2015

Nowadays, it is animately studied on IoT(Internet of Things) on the strength of development of the short-range communications technology and smart device. In this paper, it made a interface board which is capable of short-range communications networks based on embedded linux and Android OS (operating system). and we also made a IoT sensor module and device driver module. This devices are easily separated and changed and also simply embodied in IoT, and It was implemented using the Android app that allows you to control the sensors.

• Smart Media Journal
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• v.7 no.2
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• pp.47-53
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• 2018

Along with the development of information and communication technology, smart education that can learn without restrictions of time, place and equipment is activated even in the field of education. Although smart education is provided with content-based training solutions, construction of a system that grasps individual characteristics of learners and provides personalized learning is relatively weak. The activity of free choice is an important play activity of early childhood education, but it is not implemented efficiently by relying on the clinical observation of the teacher. If the IoT(Internet of Things) technology based on Hyper-Connected is applied to free-choice activities, it is possible to provide the child's personalized activity type and play-form analysis based on objective and stylized data. In this paper, we design and implement a system to monitor the child's activity of free choice by building an IoT environment that is based on open source hardware. The proposed system provides children's activity information as objective data and will be used as teacher's work mitigation and custom training material for each child.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.113-120
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• 2023

Smart farms are steadily increasing in research to minimize labor, energy, and quantity put into crops as IoT technology and artificial intelligence technology are combined. However, research on efficiently managing crop growth information in smart farms has been insufficient to date. In this paper, we propose a management technique that can efficiently monitor crop growth information by applying autonomous sensors to smart farms. The proposed technique focuses on collecting crop growth information through autonomous sensors and then recycling the growth information to crop cultivation. In particular, the proposed technique allocates crop growth information to one slot and then weights each crop to perform load balancing, minimizing interference between crop growth information. In addition, when processing crop growth information in four stages (sensing detection stage, sensing transmission stage, application processing stage, data management stage, etc.), the proposed technique computerizes important crop management points in real time, so an immediate warning system works outside of the management criteria. As a result of the performance evaluation, the accuracy of the autonomous sensor was improved by 22.9% on average compared to the existing technique, and the efficiency was improved by 16.4% on average compared to the existing technique.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1061-1068
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• 2020

This paper presents a system-independent mobile smart shelter using solar energy technology that can be freely installed in various places, such as parks, countryside, event area, construction area and walking tour places where the system power are difficult to use. The proposed smart shelter is equipped with solar power generation and energy storage devices that is combined with IoT technology to collect indoor and outdoor humidity, fine dust and tourist awareness in real time. It is possible to efficiently manage energy by performing the optimal energy operation during the heat- wave, cold-wave situation and the presence of travelers and it is possible to serve as a shelter for as long as possible without system power.

• Journal of Information Processing Systems
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• v.19 no.3
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• pp.347-354
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• 2023

The rapid development of information technology has accelerated the application of big data and the Internet of Things in various industries. Big data has a great potential in the development of smart tourism. With the help of innovation in emerging technologies such as big data and Internet of Things, smart tourism has a better possibility to surpass traditional tourism. Therefore, this article provides a theoretical support to this process. It has explored the innovative management model of big data and IoT in smart tourism and evaluate their effects on promoting tourism. It offers a reference for the integration and innovation of the tourism theory system. Before big data technology, the development of Internet boosted online tourism. However, tourism marketing is still inefficient due to a lack of understanding about tourists. After many practical explorations of big data technology, tourism websites begin to adopt big data technology in their daily operations. With the changes in tourists' preferences and needs, further innovation and research are needed to help smart tourism keep up with the changes in the market and create more competitive products and services. Innovation serves as the driving force for enterprises to occupy the market and develop.